Triple

T16775951
Position Surface form Disambiguated ID Type / Status
Subject Lyndon Hannibal E407722 entity
Predicate countryOfCitizenship P2 FINISHED
Object Sri Lanka E23066 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Sri Lanka | Statement: [Lyndon Hannibal, countryOfCitizenship, Sri Lanka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sri Lanka
Context triple: [Lyndon Hannibal, countryOfCitizenship, Sri Lanka]
  • A. Sri Lanka chosen
    Sri Lanka is an island nation in the Indian Ocean known for its rich cultural heritage, diverse landscapes, and strategic location off the southern coast of India.
  • B. Lanka
    Lanka is the island kingdom in the Ramayana epic ruled by the demon king Ravana, where Sita is held captive and Rama wages war to rescue her.
  • C. Wat Lanka
    Wat Lanka is one of Phnom Penh’s oldest and most significant Buddhist temples, known for its traditional Khmer architecture and religious importance.
  • D. Mattumagala, Sri Lanka
    Mattumagala, Sri Lanka is a locality best known as the birthplace of renowned Sri Lankan fast bowler Chaminda Vaas.
  • E. Katunayake, Sri Lanka
    Katunayake is a major town in western Sri Lanka best known for hosting Bandaranaike International Airport, the country’s primary international gateway.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8839270588190886720d9519bbf8f completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b039a2a88190865e6a42c830c54d completed April 18, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00aafe1f8081909b9540aca6e7b9b7 completed May 10, 2026, 3:57 p.m.
Created at: April 10, 2026, 5:22 a.m.